Application Fraud Detection Software
Skylight offers protection for lenders and credit providers from fake and manipulated applications, before approval.
By combining identity verification, device analysis, behavioral signals, and risk scoring at the point of application, Skylight stops fraudulent credit and loan submissions before a decision is made, protecting your lending portfolio from the synthetic identities and layered schemes that traditional checks routinely miss.
Why it matters
Application fraud is rising, and the cost of a missed detection compounds quickly
Fraudulent credit applications are not a new problem, but the sophistication of the identities and schemes behind them is increasing. Catching them after funding is far more costly than catching them before.
Fraudulent applications are rising across loan and credit channels
Criminals are increasingly exploiting loan and credit channels to secure financing using stolen or synthetic identities. Application fraud has grown in sophistication alongside the digital transformation of lending, with fraudsters applying the same techniques used in account opening fraud to the more valuable and longer-duration exposures that credit products represent.
Rejection post-funding is costly for lenders and borrowers alike
Discovering a fraudulent application after funds have been disbursed triggers recovery processes that are costly, time-consuming, and rarely fully successful. The operational burden of post-funding fraud, including collections activity, write-offs, and regulatory reporting, dwarfs the cost of detecting and stopping the application before a credit decision is made.
Traditional checks fail against sophisticated application fraud
Conventional identity checks are not sufficient to detect sophisticated application fraud patterns or layered identity schemes. Synthetic identities built over months of credit history, and stolen identities supplemented with fabricated supporting documentation, are specifically constructed to pass the verification steps that most lending platforms rely on.
How it works
Four detection layers covering the full application lifecycle
From the moment an application is submitted through to final decision and ongoing monitoring, six integrated capabilities work together to surface fraud signals that no single check would catch alone.
Multi-Layered Identity Verification
The platform verifies identity documents, cross-checks PEP and sanctions databases, and analyzes user history to support application fraud detection. Each layer adds signal that the others cannot provide alone, so a synthetic identity that passes document verification may still be exposed by database mismatches or a history inconsistent with the profile being presented.
Behavioral and Transaction Profiling
Users are scored based on typing rhythm, navigation patterns, and transaction history to flag anomalies that differ from genuine applicant behavior. Fraudsters completing applications, whether manually or through automated tooling, generate behavioral signatures that diverge from those of legitimate borrowers in ways that are consistently detectable.
Device and Network Signals
Device fingerprints, IP insights, and network velocity data are collected to assess the risk behind each new loan application attempt. Fraudsters submitting multiple applications across synthetic identities generate device and network patterns that legitimate applicants do not, and those patterns are detectable even when the identity credentials themselves appear clean.
Application Transaction Monitoring
The system continuously reviews pending and completed applications for unusual behaviors throughout the lifecycle, not just at the point of submission. Fraud patterns that emerge after initial screening, including changes to submitted data, unusual follow-up activity, and coordination with other applications, are surfaced before a credit decision is finalized.
What sets us apart
Integrates with your origination stack. Managed by your business team.
Skylight connects to lending platforms and origination systems quickly via secure API, lets business teams manage risk rules without development dependency, and makes every risk signal fully explainable to applicants, auditors, and regulators.
Application fraud detection that sits outside the origination workflow creates gaps. A system that receives a data extract rather than operating within the live application flow sees a delayed and incomplete picture. Skylight is designed to integrate at the point of decision, so detection is active when and where it matters.
Fast integration with lending and origination platforms
The system integrates quickly into lending platforms and origination systems via secure APIs, without requiring significant development effort or disruption to the application journey your customers already move through. Skylight connects to the workflow rather than sitting alongside it, so detection is embedded in the decision rather than added as a separate step.
Business-team rule management
Business teams can manage risk rules without depending on development, keeping detection logic responsive to the fraud patterns currently targeting your lending products. New attack vectors can be addressed with a configuration change rather than a sprint, which matters when the window between identifying a new scheme and closing it determines how much exposure accumulates.
Cloud-native and volume-scalable
The solution scales automatically in cloud environments as application volume grows, handling seasonal peaks, product launches, and long-term portfolio expansion without manual capacity planning or degradation in detection speed or accuracy. Your fraud controls grow with your lending business rather than creating a bottleneck within it.
Fully explainable risk signals
Risk signals are fully explainable, providing transparency for applicants who receive an adverse decision, investigators who need to act on an alert, and auditors who need to verify that controls are operating as intended. Explainability is not an optional feature in credit; it is a regulatory expectation, and Skylight is built with that in mind.
Use cases
Every application fraud scenario, from submission to portfolio review
From screening individual loan applications in real time to automating checks across high-volume batch submissions, Skylight covers the full range of application fraud risks that lenders and credit providers face.
New loan application screening
Flag suspicious loan submissions in real time as they arrive, before they progress further through the origination workflow. Multi-layered identity, device, and behavioral assessment happens within the application flow, so the screening step adds minimal delay for genuine applicants while reliably catching fraudulent ones before a credit decision is made.
Credit line increase requests
Spot patterns of abuse or collusion in credit line increase requests before additional exposure is approved. Fraudsters who have successfully established a base credit line through an initial application will often follow up with increase requests; Skylight applies the same detection rigour to these requests as to new applications, using the account’s behavior history as additional signal.
Repeat application monitoring
Detect bulk or synthetic credit attempts by identifying the device, network, and behavioral links between applications submitted across different identities. Coordinated application fraud that targets multiple products or submits variations of the same synthetic identity across a short period generates patterns that are visible at the portfolio level even when individual applications appear clean.
Batch review and analysis
Automate checks for high volumes of loan requests with consistent detection accuracy across every application in the queue. Batch processing is handled without degradation in the quality or speed of fraud assessment, so periods of high application volume do not create a backlog that reduces effective coverage or forces a trade-off between throughput and scrutiny.
Protect your lending portfolio with advanced application fraud detection
Request a personalized demo, start a pilot, or speak with one of our credit risk specialists about the application fraud risks your lending portfolio is facing today.
